Digital Social Matching Ecosystem for Knowledge Work

Jukka Huhtamäki, Thomas Olsson

Abstract

Knowledge work involves various so-called social matching decisions: who to recruit, who to pair up or team up, who to ask for consultancy, etc. Despite the scale of effects such decisions can have on organizations, social matching activities are little supported by technology. In this position paper, we describe an ongoing venture to develop the enablers and a shared vision for forming digital ecosystems around social matching of knowledge workers. Rather than developing monolithic, organization-specific systems, we argue for an API-based ecosystemic approach that helps co-create value and develop more networked, innovative, and viable business ventures. We elaborate our vision and work-in-progress by presenting requirements for and scenarios of digital ecosystems for social matching in knowledge work.

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Paper Citation


in Harvard Style

Huhtamäki J. and Olsson T. (2018). Digital Social Matching Ecosystem for Knowledge Work.In Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS, ISBN 978-989-758-330-8, pages 194-199. DOI: 10.5220/0006950301940199


in Bibtex Style

@conference{kmis18,
author={Jukka Huhtamäki and Thomas Olsson},
title={Digital Social Matching Ecosystem for Knowledge Work},
booktitle={Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS,},
year={2018},
pages={194-199},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006950301940199},
isbn={978-989-758-330-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS,
TI - Digital Social Matching Ecosystem for Knowledge Work
SN - 978-989-758-330-8
AU - Huhtamäki J.
AU - Olsson T.
PY - 2018
SP - 194
EP - 199
DO - 10.5220/0006950301940199